scholarly journals Neodymium-decorated graphene oxide as a corrosion barrier layer on Ti6Al4V alloy in acidic medium

RSC Advances ◽  
2019 ◽  
Vol 9 (15) ◽  
pp. 8537-8545 ◽  
Author(s):  
N. Palaniappan ◽  
I. S. Cole ◽  
F. Caballero-Briones ◽  
S. Manickam ◽  
C. Lal ◽  
...  

Neodymium-decorated graphene oxide is chemisorbed by non-bonding electrons on Ti6Al4V surface increasing the corrosion inhibition in acidic media.

2007 ◽  
Vol 4 (4) ◽  
pp. 450-456 ◽  
Author(s):  
P. Arora ◽  
S. Kumar ◽  
M. K. Sharma ◽  
S. P. Mathur

The inhibition efficiency of ethanolic extract of different parts ofCapparis deciduas(Ker) in acidic medium has been evaluated by mass loss and thermometric methods. Values of inhibition efficiency obtained from the two methods are in good agreement and are dependent upon the concentration of inhibitor and acid.


RSC Advances ◽  
2021 ◽  
Vol 11 (36) ◽  
pp. 22095-22105
Author(s):  
Palaniappan N. ◽  
Ivan S. Cole ◽  
A. Kuznetsov ◽  
K. R. Justin Thomas ◽  
Balasubramanian K. ◽  
...  

Gadolinium electrostatically interacts with the epoxy group of graphene oxide. Non-bonding electrons of graphene oxide enhance electron transfer between the polarized metal alloy surface and product alloy surface from the corrosive medium.


2015 ◽  
Vol 6 ◽  
pp. 158-167
Author(s):  
A Ashwe ◽  
K K Ikpambese

Prediction of corrosion behavior of steel in acidic environments is an essential step towards optimizing the design of equipment in any industrial setting. An artificial neural network (ANN) may be used as a reliable modeling method for simulating and predicting the corrosion behaviour. The present study has been conducted to investigate the corrosion inhibition potentials of Eichhornia crassipes (water hyacinth) leaves extract for mild steel in acidic media and to establish an appropriate ANN model for predicting corrosion behavior of mild steel in H 2 SO 4 inhibited by Eichhornia crassipes. The experimental procedure employed weight loss method for corrosion rate measurements. Results have shown that Eichhornia crassipes is an effective inhibitor for corrosion inhibition of mild steel in acidic medium. A Levenberg-Marquardt (LM) ANN with single hidden layer having five neurons was employed to simulate the corrosion behaviour. The neural network was trained using the experimental corrosion database. Finally, validity of the proposed model was tested using standard statistical parameters. Results indicate that the trained ANN model is robust for predicting corrosion behaviour of mild steel in acidic media.


RSC Advances ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 662-670
Author(s):  
Palaniappan Nagarajan ◽  
Ivan S. Cole ◽  
Aleksey Kuznetsov ◽  
Sivakumar Manickam

Terbium functionalized graphene oxide interacted with an Mg2+ surface by the active side of GO.


2021 ◽  
Author(s):  
Abolanle S. Adekunle ◽  
Lukman O. Olasunkanmi ◽  
Solomon S. Durodola ◽  
John A. O. Oyekunle ◽  
Temitope O. Olomola

RSC Advances ◽  
2019 ◽  
Vol 9 (66) ◽  
pp. 38677-38686
Author(s):  
Palaniappan N. ◽  
I. S. Cole ◽  
A. E. Kuznetsov ◽  
K. R. Justin Thomas

(A) The electrostatic interaction of a functionalized carbon material with a 111 nickel surface, (B) the OPT structure of 4,5-DPM + CNT, and (C) 4,5-DPIM + CNT material chemisorbed on a 111 nickel alloy surface.


RSC Advances ◽  
2017 ◽  
Vol 7 (74) ◽  
pp. 47148-47163 ◽  
Author(s):  
Archana Pandey ◽  
B. Singh ◽  
Chandrabhan Verma ◽  
Eno E. Ebenso

This study reports the synthesis of new Schiff bases namely 5-((4-chloro-3-nitrophenylimino)methyl)-2-methoxyphenol and 2-(4-hydroxy-3-methoxybenzylidineamino)-4-nitrophenol using solid–liquid phase equilibrium diagram and their characterization.


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